Nejat Yumusak
Expert systems with applications · 2009
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Nejat Yumusak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nejat Yumusak's perspective
Ordered by how strongly the researchers Nejat Yumusak trusts endorse each paper. Same corpus, a different order for every researcher.
- Robust principal component analysis for computer vision (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
- Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
- Probabilistic neural networks
- Predicting breast cancer survivability: a comparison of three data mining methods
- Training feedforward networks with the Marquardt algorithm
- An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease (Digit. Signal Process.)
- A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine (Expert systems with applications)
- Induction of decision trees
- The Nature of Statistical Learning Theory
- Histograms of oriented gradients for human detection
Their papers
- A comparative study on diabetes disease diagnosis using neural networks (2009) — 319 citations